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87
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GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 4 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
80
Voted
ECAI
2000
Springer
15 years 5 months ago
Focusing Search by Using Problem Solving Experience
Case-based reasoning (CBR) aims at using experience from the past in order to guide future problem solving rather than “starting from scratch” every time. We propose a CBR stra...
Eyke Hüllermeier
JAR
2000
149views more  JAR 2000»
15 years 18 days ago
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems
In this paper, we show how Guided Local Search (GLS) can be applied to the SAT problem and show how the resulting algorithm can be naturally extended to solve the weighted MAX-SAT ...
Patrick Mills, Edward P. K. Tsang
COR
2010
150views more  COR 2010»
15 years 27 days ago
Black box scatter search for general classes of binary optimization problems
The purpose of this paper is to apply the scatter search methodology to general classes of binary problems. We focus on optimization problems for which the solutions are represent...
Francisco Gortázar, Abraham Duarte, Manuel ...
CPAIOR
2010
Springer
15 years 5 months ago
Constraint-Based Local Search for Constrained Optimum Paths Problems
Constrained Optimum Path (COP) problems arise in many real-life applications and are ubiquitous in communication networks. They have been traditionally approached by dedicated algo...
Pham Quang Dung, Yves Deville, Pascal Van Hentenry...